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Google Cloud Dataprep description
Google Cloud Dataprep is a cloud-based tool that helps you clean and prepare data for analysis. It can handle large amounts of data and doesn't require you to set up any servers. Its visual interface makes it easy to explore your data and fix any errors. With Dataprep, you can prepare your data for analysis without needing to write code.
Who is Google Cloud Dataprep best for
Google Cloud Dataprep is great for companies seeking a user-friendly tool to clean and prep data for analysis. We find it's especially useful for those who want to avoid coding. It is designed to handle large datasets, making it a solid choice for businesses of any size.
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Great for businesses of any size that need to analyze data, from small startups to large corporations.
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Particularly useful for finance, software, IT, telecommunications, and marketing/advertising industries.
Google Cloud Dataprep features
Supported Serverless architecture: A fully managed, serverless data analytics platform designed to be multi-engine, multi-format, and multi-cloud. |
Supported AI-powered assistance: Provides AI-powered assistive and collaboration features within BigQuery, including code assist, visual data preparation, and intelligent recommendations. |
Supported Apache Spark integration: Allows running Apache Spark directly within BigQuery, without the need for data export or infrastructure management. |
Supported Open format support: Supports various data types and open formats, including Apache Iceberg, Delta Lake, and Hudi, enabling flexibility and interoperability. |
Supported Built-in machine learning: Offers built-in machine learning capabilities, allowing users to create and execute machine learning models directly on BigQuery data. |
Supported Real-time analytics: Provides real-time analytics capabilities by ingesting streaming data and making it instantly available for querying. |
Supported Built-in BI tools: Offers built-in business intelligence tools to create and share insights with Looker Studio and Looker. |
Google Cloud Dataprep pricing
The commentary is based on 1 reviews from Google Cloud Dataprep G2 reviews.
We find that users consider Google Cloud Dataprep to be expensive, but worthwhile. While it delivers value by significantly speeding up data preparation, the cost might be a barrier for some. Users generally recommend it despite the price.
See the Google Cloud Dataprep pricing page.
Google Cloud Dataprep alternatives
SAS Data PreparationVisually prepares data for analysis, simplifies cleanup, and boosts collaboration.Read more
Google Cloud DatalabInteractive data exploration, analysis, and visualization in the cloud.Read more
Google Cloud Dataprep FAQ
Google Cloud Dataprep is a serverless data service for visually exploring, cleaning, and preparing data for analysis. We find it especially helpful for users who prefer a no-code approach to data preparation and transformation. It easily handles large datasets and integrates with other Google Cloud services.
What is Google Cloud Dataprep and what does Google Cloud Dataprep do?
Google Cloud Dataprep is a serverless data service for visually exploring, cleaning, and preparing data for analysis. We find it especially helpful for users who prefer a no-code approach to data preparation and transformation. It easily handles large datasets and integrates with other Google Cloud services.
Dataprep integrates seamlessly with other Google Cloud services like BigQuery, Dataflow, and Dataproc. It also supports various open formats ensuring flexibility with different tools and systems. This makes it easy to incorporate into existing data pipelines.
How does Google Cloud Dataprep integrate with other tools?
Dataprep integrates seamlessly with other Google Cloud services like BigQuery, Dataflow, and Dataproc. It also supports various open formats ensuring flexibility with different tools and systems. This makes it easy to incorporate into existing data pipelines.
We find that alternatives to Google Cloud Dataprep include SAS Data Preparation, SAS Studio Analyst, and SAS Data Quality. Other options worth considering are Google Cloud Datalab, Google Cloud Dataproc, and Rose AI.
What the main competitors of Google Cloud Dataprep?
We find that alternatives to Google Cloud Dataprep include SAS Data Preparation, SAS Studio Analyst, and SAS Data Quality. Other options worth considering are Google Cloud Datalab, Google Cloud Dataproc, and Rose AI.
Yes, Google Cloud Dataprep is a legitimate product from Google Cloud. It's a safe and reliable tool for data preparation. We find it especially useful for cleaning and transforming data for analysis, and its visual interface makes it easy to use, even for non-coders.
Is Google Cloud Dataprep legit?
Yes, Google Cloud Dataprep is a legitimate product from Google Cloud. It's a safe and reliable tool for data preparation. We find it especially useful for cleaning and transforming data for analysis, and its visual interface makes it easy to use, even for non-coders.
We couldn't find pricing information for Google Cloud Dataprep. Contact Google Cloud sales for details on pricing.
How much does Google Cloud Dataprep cost?
We couldn't find pricing information for Google Cloud Dataprep. Contact Google Cloud sales for details on pricing.
Based on the reviews, Google Cloud's support team is generally considered helpful and responsive. However, some users find the available documentation, including official resources, to be lacking in practical examples, which can hinder proper tool implementation.
Is Google Cloud Dataprep customer service good?
Based on the reviews, Google Cloud's support team is generally considered helpful and responsive. However, some users find the available documentation, including official resources, to be lacking in practical examples, which can hinder proper tool implementation.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
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